关于武汉大学华光教授学术报告的通知

发布者:吴春风发布时间:2018-12-10浏览次数:26

时间:20181214日(周五)上午10:30-12:00

地点:逸夫科学馆214会议室

报告人:华光

报告题目:Error Analysis of Forensic ENF Matching

摘要:This talk presents our analytical results on the performances of several existing forensic electric network frequency (ENF) matching methods, i.e., benchmark minimum mean squared error (MMSE) based matching, error correction matching (ECM), and bitwise similarity matching (BSM). The use of a threshold value enables the ECM and BSM methods to tolerate certain amount of local matching errors, but performance improvement against the MMSE benchmark is not guaranteed at all times. By looking into the relationship between the local errors and the threshold value, we comprehensively investigate possible situations of matching inconsistency during ENF matching process, which has not been addressed in existing literature. We reveal that ECM generally yields the best matching results in the 7 possible matching situations discovered in this paper. However, the performance of BSM is inferior to the MMSE benchmark in several situations, although it enjoys significantly reduced computation time thanks to bitwise processing. This work indicates the potential to design improved matching methods.

 

 

报告人简介:

华光,武汉大学电子信息学院特聘研究员,博士生导师。2009年获得武汉大学电子信息学院通信工程学士学位,20102014年分别获得新加坡南洋理工大学电机与电子工程学院信号处理硕士以及信息工程博士学位。2013年至2015年在新加坡科技研究局,资讯通信研究院担任初级研究员(Scientist I),2016年至2017年在新加坡南洋理工大学担任博士后。主要研究领域包括统计信号处理、音频取证、图像取证、信息隐藏/数字水印等。近年来在相关领域发表多篇SCI二区期刊论文,出版1本专著(共同作者),拥有新加坡专利1项(第一发明者,已授权使用),并获得2014年国际网络安全数据挖掘比赛(CDMC2014)第一名。长期担任IEEE信号处理协会权威期刊审稿人,担任了信息隐藏与数字取证国际会议IWDW 20162017的技术委员会成员。


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